Cloud Architecture That Delivers on the Promise
Cloud adoption has a disappointing track record in many organizations not because the technology fails, but because the architecture decisions made during migration undermine the benefits. Lifting and shifting a monolithic application to virtual machines does not deliver cloud-native scalability or cost efficiency. Axipt's cloud architecture practice is built around the insight that realizing cloud's potential requires architectural change, not just infrastructure change.
Cloud-Native Design Patterns
Cloud-native applications are designed around a set of principles that align with how cloud infrastructure actually works: stateless services that scale horizontally, declarative configuration managed in version control, health-check-driven scheduling and recovery, and loose coupling between services via APIs and event streams. Axipt's architects have applied these patterns across dozens of production systems and can translate them into concrete designs for your specific application and organizational context.
Migration Strategy: Right-Sizing the Approach
Not every migration requires a full re-architecture. Axipt's migration assessment process evaluates each component of your system against a migration spectrum: retain on-premises, lift-and-shift to IaaS, re-platform to managed services, re-architect to cloud-native, or replace with a SaaS alternative. The right answer is different for every component and depends on factors including traffic patterns, data sensitivity, team capabilities, and time horizon. We help you make these decisions with explicit trade-off analysis rather than defaulting to one strategy for the entire system.
Kubernetes Platform Engineering
Kubernetes has become the de facto deployment platform for cloud-native applications, but operating Kubernetes well requires significant expertise that most application engineering teams do not have. Axipt's platform engineering practice builds internal developer platforms on top of Kubernetes that abstract away operational complexity while giving application teams the deployment flexibility they need. We configure cluster autoscaling, network policies, secrets management, pod security policies, and observability stacks so your application teams can deploy without understanding every Kubernetes primitive.
Cost Optimization
Cloud costs have a tendency to grow faster than business value in organizations without active cost governance. Axipt's cost optimization engagements identify idle resources, rightsizing opportunities, commitment discount coverage gaps, and architectural patterns that generate unnecessary data transfer or API costs. We deliver a prioritized list of changes with estimated savings, then work with your team to implement the highest-impact items. Typical engagements identify 20-40% cost reduction opportunities within the first assessment.
Multi-Cloud and Hybrid Architecture
Some organizations have data sovereignty requirements, regulatory constraints, or strategic reasons to avoid single-vendor lock-in that make multi-cloud or hybrid architectures appropriate. Axipt designs these architectures using a portability-first approach: abstracting cloud-specific services behind interfaces, using open standards for data formats and APIs, and choosing control planes that work consistently across providers. We are honest about the tradeoffs multi-cloud introduces and help you decide when the benefits justify the complexity.